Title :
Recursive least-squares adaptive channel estimation for spatial modulation systems
Author :
Faiz, Mohammed Mujahid Ulla ; Al-Ghadhban, Samir ; Zerguine, Azzedine
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet.&Miner., Dhahran, Saudi Arabia
Abstract :
In this paper, a recursive least-squares (RLS) adaptive channel estimation scheme is applied for spatial modulation (SM) system over a block fading multiple-input-multiple-output (MIMO) channel. The performance of spatial modulation with channel estimation is compared to vertical Bell Labs layered space-time (V-BLAST) and maximum ratio combining (MRC) transmission schemes for different pilot rates and a fixed 3-b/s/Hz spectral efficiency. Computer simulations carried out demonstrate the superiority of SM over V-BLAST and MRC schemes. In addition, the results in this study show that SM is more robust against channel estimation errors than the other MIMO schemes.
Keywords :
MIMO communication; channel estimation; fading channels; least squares approximations; recursive estimation; block fading multiple-input-multiple-output channel; maximum ratio combining transmission schemes; recursive least-squares adaptive channel estimation; spatial modulation systems; vertical Bell Labs layered space-time; Channel estimation; Detectors; Fading; MIMO; Performance gain; Receiving antennas; Resonance light scattering; Samarium; Transmitters; Transmitting antennas; Block fading; channel estimation; multiple-input-multiple-output (MIMO); recursive least-squares (RLS); spatial modulation (SM); vertical Bell Labs layered space-time (V-BLAST);
Conference_Titel :
Communications (MICC), 2009 IEEE 9th Malaysia International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5531-7
DOI :
10.1109/MICC.2009.5431388